conversational ai specialist

Logic, Inc.

<div><div>Creative Technology Manager | Senior Level | Full time
</div><div>Job No. R00317977 | Multiple Locations</div></div>
<br><div><div><div><div><div><b>We are:</b>
</div><div><div><div><div><div><div><div><div><div><p>Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song</p>
</div></div></div></div></div></div></div></div></div><p></p><p><b>Role Overview:</b></p>
<p>We are seeking a Conversation Designer who understands how agentic commerce transforms interactions from static scripts into adaptive, AI-mediated exchanges. This role blends conversational design, experience design, and structured content strategy to craft intelligent dialogue systems that are brand-forward, agent-compatible, and continuously optimized through signals, structure, and feedback loops.</p>
</div><div><p>You will design AI-native conversational ecosystems that enable brands to show up effectively in environments where intelligent agents shape discovery, guide decision-making, negotiate value, and increasingly act on behalf of customers.</p></div><br>
<p></p><div><p><b>Job Responsibilities</b></p>
</div><div><p><i>Conversational Vision for Agentic Journeys</i>. Defining how brands behave across adaptive, agent-mediated interactions, including:</p>
</div><div><ul><li><p>Mapping dynamic conversational journeys that evolve based on agent inference, contextual signals, and user intent.</p></li></ul>
</div><div><ul><li><p>Designing structured dialogue architectures that support both human-agent and agent-to-agent interactions.</p></li></ul>
</div><div><ul><li><p>Ensuring conversational systems include decision support frameworks that intelligent agents can parse, reference, and optimize.</p></li></ul>
</div><div><ul><li><p>Translating brand voice into machine-operable behavioral guidelines for AI-driven exchanges.</p></li></ul>
</div><div><p><i>Dialogue Architecture and Interaction Design</i>. Shaping how customers and intelligent agents engage through adaptive interfaces, including:</p>
</div><div><ul><li><p>Crafting modular conversational flows that balance brand personality with clarity, intent recognition, and agent-friendly structure.</p></li></ul>
</div><div><ul><li><p>Designing slot-filling patterns, prompt scaffolds, fallback states, and escalation paths.</p></li></ul>
</div><div><ul><li><p>Creating reusable conversation components that support personalization and optimization at scale.</p></li></ul>
</div><div><ul><li><p>Designing repair strategies and trust-building mechanisms when AI confidence is low or ambiguity is high.</p></li></ul></div><br>
<p></p><div><p><i>Structured Content and Intent Modeling for GEO/AEO</i>. Building dialogue systems that are strategically structured for LLM reasoning, retrieval, and generative reinterpretation, including:</p>
</div><div><ul><li><p>Developing taxonomies of intents, entities, and conversational variables.</p></li></ul>
</div></div><div><div><ul><li><p>Writing modular, semantically tagged content that improves agent comprehension and retrieval accuracy.</p></li></ul>
</div><div><ul><li><p>Designing conversational patterns that surface high-quality signals for GEO/AEO optimization.</p></li></ul>
</div><div><ul><li><p>Collaborating with content strategists and optimization teams to ensure dialogue systems improve findability, answer quality, and agent preference over time.</p></li></ul>
</div><div><p><i>Optimization-Centered Conversational Strategy</i>. Embedding experimentation and continuous improvement into dialogue systems, including:</p>
</div><div><ul><li><p>Partnering with GEO practitioners and data teams to translate model insights into conversational refinements.</p></li></ul>
</div><div><ul><li><p>Designing experiments that test tone, framing, response length, structured prompts, and negotiation patterns.</p></li></ul>
</div><div><ul><li><p>Monitoring interaction performance and identifying opportunities to improve clarity, trust, and conversion outcomes.</p></li></ul>
</div><div><ul><li><p>Ensuring conversational systems evolve responsibly through structured testing and signal analysis.</p></li></ul></div><br>
<p></p><div><p><i>Trust, Transparency and Ethical Dialogue Design</i>. Designing conversations that build long-term trust in autonomous and semi-autonomous systems, including:</p>
</div><div><ul><li><p>Crafting explainability patterns that clarify agent reasoning and decision pathways.</p></li></ul>
</div><div><ul><li><p>Designing consent and confirmation flows for agent-initiated transactions.</p></li></ul>
</div><div><ul><li><p>Avoiding dark patterns and ensuring ethical behavioral design principles guide persuasive interactions.</p></li></ul>
</div><div><ul><li><p>Defining escalation models where human intervention enhances safety and confidence.</p></li></ul></div></div></div></div>
<br><div><div><div><p><b>Basic Qualifications:
</b></p><ul><li>5+ years of experience designing conversational systems for chat, voice, multimodal, or AI-assisted commerce environments; with strong understanding of intent modeling, conversational taxonomies, and structured content systems.</li></ul>
<p></p><p><b>Preferred Qualifications</b></p>
</div><div><ul><li><p>Bachelor&rsquo;s degree in Design, Human-Computer Interaction, Linguistics, Communications, or a related field.</p></li></ul>
</div><div><ul><li><p>Industry experience in Retail and Consumer Goods &amp; Services.</p></li></ul>
</div></div><div><div><ul><li><p>Exceptional writing skills with demonstrated ability to translate brand voice into structured dialogue systems.</p></li></ul>
</div><div><ul><li><p>Experience collaborating with product, engineering, and data teams on AI-enabled experiences.</p></li></ul>
</div><div><ul><li><p>Familiarity with Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) principles.</p></li></ul>
</div><div><ul><li><p>Proficient in developing conversational prototypes, documentation, and training materials.</p></li></ul>
</div><div><ul><li><p>A passion for innovation and a commitment to helping clients adopt AI-driven interaction models responsibly.</p></li></ul></div><br>
</div><p></p><p><br>
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.<br>
We anticipate this job posting will be posted until 04/18/2026<br>
<br>
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:</p>
<p></p>
<p></p><p>U.S. Employee Benefits | Accenture</p><p><br>
Role Location Annual Salary Range<br>
California $94,400 to $266,300<br>
Cleveland $87,400 to $213,000<br>
Colorado $94,400 to $230,000<br>
District of Columbia $100,500 to $245,000<br>
Illinois $87,400 to $230,000<br>
Maryland $94,400 to $230,000<br>
Massachusetts $94,400 to $245,000<br>
Minnesota $94,400 to $230,000<br>
New York $87,400 to $266,300<br>
New Jersey $100,500 to $266,300<br>
Washington $100,500 to $245,000</p></div><p></p>
<br><div><p>Chicago, IL</p><p>
Albany, NY</p><p>
Arlington, VA</p><p>
Atlanta, GA</p><p>
Austin, TX</p><p>
Beaverton, OR</p><p>
Bentonville, AR</p><p>
Boston, MA</p><p>
Carmel, IN</p><p>
Charlotte, NC</p><p>
Cincinnati, OH</p><p>
Cleveland, OH</p><p>
Columbus, OH</p><p>
Culver City, CA</p><p>
Denver, CO</p><p>
Des Moines, IA</p><p>
Detroit, MI</p><p>
Hartford, CT</p><p>
Houston, TX</p><p>
Irving, TX</p><p>
Kirkland, WA</p><p>
Miami, FL</p><p>
Milwaukee, WI</p><p>
Minneapolis, MN</p><p>
Morristown, NJ</p><p>
Mountain View, CA</p><p>
Nashville, TN</p><p>
New York City, NY</p><p>
Oklahoma City, OK</p><p>
Overland Park, KS</p><p>
Philadelphia, PA</p><p>
Pittsburgh, PA</p><p>
Raleigh, NC</p><p>
Redmond, WA</p><p>
Sacramento, CA</p><p>
San Diego, CA</p><p>
San Francisco, CA</p><p>
Scottsdale, AZ</p><p>
Seattle, WA</p><p>
St. Louis, MO</p><p>
St. Petersburg, FL</p><p>
Walnut Creek, CA</p></div>
<br><div><p><b>Requesting an Accommodation</b></p>
<p>
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.</p>
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If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.</p><br>
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Equal Employment Opportunity Statement</b></p>
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Other Employment Statements</b></p>
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<br><div><p>We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.</p>
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Join Accenture to work at the heart of change. Visit us at www.accenture.com.</p></div>

Senior Conversation Designer | Agentic Commerce

YO IT CONSULTING

<div><p><b>Work Mode:</b> Remote<br>
<b>Engagement Type:</b> Independent Contractor<br>
<b>Schedule:</b> Full-Time or Part-Time Contract</p>
<p><b>Language Requirement:</b> Fluent English</p>
<p><b>Role :</b></p>
<p>Partners with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. These systems are used across a wide range of everyday and professional scenarios, and their effectiveness depends on how clearly, accurately, and helpfully they respond to real user questions.</p>
<p>In engineering-related contexts, conversational AI systems must demonstrate accurate applied reasoning, quantitative precision, and practical problem-solving aligned with real-world systems. This project focuses on evaluating and improving how models reason about and explain engineering concepts across multiple disciplines.</p>
<p><b>What You&rsquo;ll Do</b></p>
<ul><li><p><b>Write and refine prompts</b> to guide model behavior in engineering scenarios</p>
</li><li><p><b>Evaluate LLM-generated responses</b> to engineering-related queries for technical accuracy, applied reasoning, and completeness</p>
</li><li><p><b>Conduct fact-checking and verify any technical claims</b> using authoritative public sources and domain knowledge</p>
</li><li><p><b>Annotate model responses</b> by identifying strengths, areas of improvement, and factual or conceptual inaccuracies</p>
</li><li><p><b>Assess clarity, structure, and appropriateness of explanations</b> for different audiences</p>
</li><li><p>Ensure <b>model responses align with expected conversational behavior</b> and system guidelines</p>
</li><li><p><b>Apply consistent evaluation standards</b> by following clear taxonomies, benchmarks, and detailed evaluation guidelines</p>
</li></ul><p><b>Who You Are</b></p>
<ul><li><p>You hold a <b>PhD in Engineering or a closely related field</b></p>
</li><li><p>You have deep expertise in <b>one or more of the following sub-domains</b>:</p>
<ul><li><p>Mechanical &amp; Physical Systems Engineering</p>
</li><li><p>Electrical, Electronic &amp; Computer Engineering</p>
</li><li><p>Chemical, Materials &amp; Process Engineering</p>
</li><li><p>Civil, Environmental &amp; Infrastructure Engineering</p>
</li></ul></li><li><p>You have <b>significant experience using large language models</b> (LLMs) and understand how and why people use them</p>
</li><li><p>You have <b>excellent writing skills</b> and can clearly explain complex engineering concepts</p>
</li><li><p>You have <b>strong attention to detail</b> and consistently notice subtle issues others may overlook</p>
</li><li><p><b>Experience reviewing or editing technical or academic writing</b></p>
</li></ul><p><b>Nice-to-Have Specialties</b></p>
<ul><li><p>Experience with applied research, industry engineering workflows, or systems design</p>
</li><li><p>Prior experience with RLHF, model evaluation, or data annotation work</p>
</li><li><p>Experience teaching, mentoring, or explaining engineering concepts to non-expert audiences</p>
</li><li><p>Familiarity with evaluation rubrics, benchmarks, or structured review frameworks</p>
</li></ul><p><b>What Success Looks Like</b></p>
<ul><li><p>You identify technical inaccuracies, flawed assumptions, or incomplete reasoning in engineering-related model outputs</p>
</li><li><p>Your feedback improves the rigor, clarity, and correctness of AI explanations</p>
</li><li><p>You deliver consistent, reproducible evaluation artifacts that strengthen model performance</p></li></ul></div>

Civil Infrastructure Engineer (PhD) - Remote

<div><p><b>Engagement Type:</b> Independent Contractor</p>
<p><b>Work Mode:</b> Remote<br>
<b>Schedule:</b> (15&ndash;25 hrs/week, flexible up to 40 hrs)<br>
<b> Duration: </b>1&ndash;3 Months | Immediate</p>
<div><div><p><b>Type</b>: Full-time or Part-time Contract Work</p>
<p><b>Fluent Language Skills Required:</b> English</p>
<p><b>Role Overview:</b></p>
</div></div><div><div><div><div><p>Partners with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. These systems are used across a wide range of everyday and professional scenarios, and their effectiveness depends on how clearly, accurately, and helpfully they respond to real user questions.</p>
<p>In chemistry-related contexts, conversational AI systems must demonstrate accurate mechanistic reasoning, quantitative precision, and a strong understanding of chemical principles across theoretical and applied settings. This project focuses on evaluating and improving how models reason about, explain, and communicate chemical concepts across foundational and advanced topics.</p>
<p><b>What You&rsquo;ll Do</b></p>
<ul><li><p><b>Write and refine prompts</b> to guide model behavior in chemistry contexts</p>
</li><li><p><b>Evaluate LLM-generated responses</b> to chemistry-related queries for scientific accuracy, mechanistic correctness, and quantitative reasoning</p>
</li><li><p><b>Conduct fact-checking</b> using authoritative public sources and domain knowledge</p>
</li><li><p><b>Annotate model responses</b> by identifying strengths, areas of improvement, and factual or conceptual inaccuracies</p>
</li><li><p><b>Assess clarity, structure, and appropriateness of explanations</b> for different audiences</p>
</li><li><p>Ensure <b>model responses align with expected conversational behavior</b> and system guidelines</p>
</li><li><p><b>Apply consistent evaluation standards</b> by following clear taxonomies, benchmarks, and detailed evaluation guidelines</p>
</li></ul><p><b>Who You Are</b></p>
<ul><li><p>You hold a <b>PhD in Chemistry or a closely related field</b></p>
</li><li><p>You have deep expertise in <b>one or more of the following sub-domains</b>:</p>
<ul><li><p>Organic &amp; Biological Chemistry</p>
</li><li><p>Inorganic &amp; Materials Chemistry</p>
</li><li><p>Physical &amp; Theoretical Chemistry</p>
</li><li><p>Analytical &amp; Instrumental Chemistry</p>
</li></ul></li><li><p>You have <b>significant experience using large language models</b> (LLMs) and understand how and why people use them</p>
</li><li><p>You have <b>excellent writing skills</b> and can clearly explain complex chemistry concepts</p>
</li><li><p>You have <b>strong attention to detail</b> and consistently notice subtle issues others may overlook</p>
</li><li><p><b>Experience reviewing or editing technical or academic writing</b></p>
</li></ul><p><b>Nice-to-Have Specialties</b></p>
<ul><li><p>Prior experience with RLHF, model evaluation, or data annotation work</p>
</li><li><p>Experience teaching, mentoring, or explaining chemistry concepts to non-expert audiences</p>
</li><li><p>Familiarity with evaluation rubrics, benchmarks, or structured review frameworks</p>
</li></ul><p><b>What Success Looks Like</b></p>
<ul><li><p>You identify inaccuracies or weak reasoning in chemistry-related model outputs</p>
</li><li><p>Your feedback improves the rigor, clarity, and correctness of AI explanations</p>
</li><li><p>You deliver consistent, reproducible evaluation artifacts that strengthen model performance</p>
</li><li><p>Customers trust their AI systems in chemistry contexts because you&rsquo;ve rigorously evaluated them</p>
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Contract and Payment Terms</b></h2>
<ul><li>You will be engaged as an independent contractor.</li>
<li>This is a fully remote role that can be completed on your own schedule.</li>
<li>Projects can be extended, shortened, or concluded early depending on needs and performance.</li>
<li>Payments are weekly on Stripe or Wise based on services rendered.</li></ul></div></div></div></div></div>

Chemistry Expert - Remote

<div><p><b>Work Mode:</b> Remote<br>
<b>Engagement Type:</b> Independent Contractor<br>
<b>Schedule:</b> Full-Time or Part-Time Contract</p>
<p><b>Role:</b></p>
<p>Partners with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. These systems are used across a wide range of everyday and professional scenarios, and their effectiveness depends on how clearly, accurately, and helpfully they respond to real user questions.</p>
<p>This project focuses on evaluating and <b>improving general chat behavior</b> in large language models (LLMs). You will assess model-generated responses across diverse topics, provide high-quality human feedback, and help ensure AI systems communicate in ways that are accurate, well-reasoned, and aligned with human expectations.</p>
<p><b>What You&rsquo;ll Do</b></p>
<ul><li><p>Evaluate LLM-generated responses on their ability to effectively answer user queries</p>
</li><li><p>Conduct fact-checking using trusted public sources and external tools</p>
</li><li><p>Generate high-quality human evaluation data by annotating response strengths, areas for improvement, and factual inaccuracies</p>
</li><li><p>Assess reasoning quality, clarity, tone, and completeness of responses</p>
</li><li><p>Ensure model responses align with expected conversational behavior and system guidelines</p>
</li><li><p>Apply consistent annotations by following clear taxonomies, benchmarks, and detailed evaluation guidelines</p>
</li></ul><p><b>Who You Are</b></p>
<ul><li><p>You hold a <b>Bachelor&rsquo;s degree</b></p>
</li><li><p>You are a <b>native speaker</b> or have <b>ILR 5/primary fluency (C2 on the CEFR scale)</b> in <b>Italian</b></p>
</li><li><p>You have <b>significant experience using large language models</b> (LLMs) and understand how and why people use them</p>
</li><li><p>You have <b>excellent writing skills</b> and can clearly articulate nuanced feedback</p>
</li><li><p>You have <b>strong attention to detail</b> and consistently notice subtle issues others may overlook</p>
</li><li><p>You are <b>adaptable</b> and comfortable moving across topics, domains, and customer requirements</p>
</li><li><p>You have a background or experience in domains requiring <b>structured analytical thinking</b> (e.g., research, policy, analytics, linguistics, engineering)</p>
</li><li><p>You have <b>excellent college-level mathematics skills</b></p>
</li></ul><p><b>Nice-to-Have Specialties</b></p>
<ul><li><p>Prior experience with <b>RLHF, model evaluation, or data annotation work</b></p>
</li><li><p>Experience writing or editing <b>high-quality written content</b></p>
</li><li><p>Experience comparing multiple outputs and making <b>fine-grained qualitative judgments</b></p>
</li><li><p><b>Familiarity with evaluation rubrics</b>, benchmarks, or quality scoring systems</p>
</li></ul><p><b>What Success Looks Like</b></p>
<ul><li><p>You identify factual inaccuracies, reasoning errors, and communication gaps in model responses</p>
</li><li><p>You produce clear, consistent, and reproducible evaluation artifacts</p>
</li><li><p>Your feedback leads to measurable improvements in response quality and user experience</p></li></ul></div>

English & Italian Expert - Remote

English & Italian Trainer - Remote

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Senior Conversation Designer | Agentic Commerce

Civil Infrastructure Engineer (PhD) - Remote

Chemistry Expert - Remote

English & Italian Expert - Remote

English & Italian Expert - Remote

English & Italian Expert - Remote

English & Italian Trainer - Remote